Proceedings of the 10th International Conference on Science and Technology (ICST 2024)

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Designing Augmented Reality (AR)-based Media for Training CNC TU 3A Machine

Authors
Anindito Rifki Dwi Mukti1, *, Dawi Karomati Baroroh1, Agus Darmawan1
1Department of Mechanical and Industrial Engineering, Universitas Gadjah Mada, Grafika 2, Yogyakarta, 55284, Indonesia
*Corresponding author. Email: dawi.karomati.b@mail.ugm.ac.id
Corresponding Author
Anindito Rifki Dwi Mukti
Available Online 1 July 2025.
DOI
10.2991/978-94-6463-772-4_35How to use a DOI?
Keywords
Augmented Reality; Computer Numerical Control; Training; Mobile Application; System Usability Scale
Abstract

In the manufacturing industry, high production flexibility is crucial. The Computer Numerical Control Training Unit (CNC TU) 3-axis machine enables large-scale production through computer automation but still requires skilled operators. A lack of operator expertise can negatively impact production efficiency and workplace safety. Current training methods are often ineffective, I efficient, and noninteractive, making immersive technologies like augmented reality (AR) a promising solution for industrial manufacturing training. This research designs an AR-based training medium for the CNC TU 3A machine. The system was evaluated using the System Usability Scale (SUS) to assess ease of use and usefulness, and the short version of the User Experience Questionnaire (UEQ-S) to measure user experience impressions. The SUS evaluation yielded a score of 80.5 out of 100, categorized as “acceptable,” with an “excellent” rating and a Grade B, indicating the AR system is feasible for use. Additionally, the UEQ-S test produced a mean score above 0.8, suggesting a positive user impression. This study concludes that the AR application demonstrates good usability and provides a satisfactory user experience, making it easy and comfortable for users to operate.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 10th International Conference on Science and Technology (ICST 2024)
Series
Advances in Engineering Research
Publication Date
1 July 2025
ISBN
978-94-6463-772-4
ISSN
2352-5401
DOI
10.2991/978-94-6463-772-4_35How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Anindito Rifki Dwi Mukti
AU  - Dawi Karomati Baroroh
AU  - Agus Darmawan
PY  - 2025
DA  - 2025/07/01
TI  - Designing Augmented Reality (AR)-based Media for Training CNC TU 3A Machine
BT  - Proceedings of the 10th International Conference on Science and Technology (ICST 2024)
PB  - Atlantis Press
SP  - 399
EP  - 406
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-772-4_35
DO  - 10.2991/978-94-6463-772-4_35
ID  - Mukti2025
ER  -